Big data is high volume, velocity, and a variety of data that is revolutionizing the way organizations can run and change the business.

3 Key Problems To Solve If You Want A Big Data Management System

When we talk to customers about putting together a big data
management system of some kind, there’s a common thread to the issues they are
worried about. Not everybody has the same problems, or weights them
identically, but there’s a huge overlap. And these three issues cover most problems
with most organizations.

First, it’s about skills, and there are two angles here.
There are the skills that organizations already have, which they’d like to
reuse. If most of your analysts are using SQL, for example, that’s a pretty big
resource which you’d like to be able to keep on using. And then there are the
skills that organizations don’t have, often related to new technologies like
Hadoop. Acquiring new skills takes time and money, both of which are in short
supply.

Second, it’s about integration. Specifically, how do you
integrate that new data (and data management tools) into your existing
environment? How do you query data when it’s distributed across multiple
different sources? How do you get your existing applications or BI reporting
tools to access this new data, without a big re-write.

Thirdly it’s about security. Hadoop security is no longer
the oxymoron it was, but security solutions there are incomplete and not fully
mature, though lots of good work is being done. What is there often hard to
setup and configure, so even when the tools are there, they are not always
being used correctly (back to the skills argument again).

Skills. Integration. Security. Are those the
problems you see as you look to use Hadoop and/or NoSQL in your organization?